Basic Information

Gene Symbol
wek
Assembly
GCA_035045065.1
Location
JAWNNK010000658.1:4452698-4454617[+]

Transcription Factor Domain

TF Family
zf-C2H2
Domain
zf-C2H2 domain
PFAM
PF00096
TF Group
Zinc-Coordinating Group
Description
The C2H2 zinc finger is the classical zinc finger domain. The two conserved cysteines and histidines co-ordinate a zinc ion. The following pattern describes the zinc finger. #-X-C-X(1-5)-C-X3-#-X5-#-X2-H-X(3-6)-[H/C] Where X can be any amino acid, and numbers in brackets indicate the number of residues. The positions marked # are those that are important for the stable fold of the zinc finger. The final position can be either his or cys. The C2H2 zinc finger is composed of two short beta strands followed by an alpha helix. The amino terminal part of the helix binds the major groove in DNA binding zinc fingers. The accepted consensus binding sequence for Sp1 is usually defined by the asymmetric hexanucleotide core GGGCGG but this sequence does not include, among others, the GAG (=CTC) repeat that constitutes a high-affinity site for Sp1 binding to the wt1 promoter [1].
Hmmscan Out
# of c-Evalue i-Evalue score bias hmm coord from hmm coord to ali coord from ali coord to env coord from env coord to acc
1 8 0.0019 0.16 12.8 1.3 1 23 277 300 277 300 0.95
2 8 0.0056 0.47 11.3 2.4 2 23 311 332 310 332 0.97
3 8 9.6e-05 0.008 16.9 2.5 1 21 341 361 341 364 0.94
4 8 0.86 72 4.4 0.5 1 23 370 392 370 392 0.95
5 8 0.00013 0.011 16.4 1.6 1 23 398 420 398 420 0.97
6 8 9.4e-05 0.0079 16.9 0.4 1 23 425 447 425 447 0.98
7 8 3.5e-05 0.003 18.2 0.1 1 23 453 475 453 475 0.97
8 8 0.0036 0.3 11.9 5.5 1 23 481 504 481 504 0.98

Sequence Information

Coding Sequence
atgacGGCTAGGGAAGCTGTAAAACGCTCACCAAAAACTTCCATGACGGACACAGAAGAATCCGATTGGCACCACTGGTGTCGGCTATGCGCCAAAGAAGATTCAAACAATTCAATCTTTACACAATTCCGAGATGGAGATCAGAACTGGAATAGCGTAATGGCTGTGGCTATTGGTAAATACTTCTGGGTTAATATTAAAACTGATGACGAGCTGAGTAACGTGTTGTGCGAGGAATGCTATACACTCGTAAAGGATCTCATTGAATTTTCTGACCGTGTCAATCGCGTACAAACGCTTTTCACCAGGCTATACAGGGCAGGAGCCAAAGCCTTTATGAACTATGATGATTTTAGAAAAGATTGTGGCTTGCTATCAAGCGAATGGAAACACATTATTTCAAAACAGGCGCCTTCGGAACCACCAGTTgaaaacacagaaacagaCTCCGCCGCTAACTACATAGTCGATGAAATGGCTGAGTCCTTTGACGAAGATGCCGAAATAATGGCCGAAATTGAGGCTGCTGTATTAACAGACAATGAGGAAACCCCTTACAAAGCGTATGATGATGACCATGACGATTCGACGAAGGATAGTGACGCGGAACATGAAGACACCACGGACATAGCTTTcgttaaagaaaaaactcaaAACGATGATGTACACTCCGAAATGCACGAGTCAAATACTAACGAGCAGGTCGCTGATACAGTTGGAGCTGCAGATGCAACGACAATCGAAGAGGACATAACAGAAGAAAACACAACAAGCGATGAATTGAACGAGATTCCAGTTGAAGACGAtggaaatgttttaaataccCCATACAAATGCATGTCCTGTcgcaaaatgtataaaaaaccAATGGCTTATAAGAGGCACATGGCTGAGATGCATGGTCTGGTGCCTACAGACATGCCCAATCTGGAATGCAAGCTCTGCCGCAGCTATTTTGTAACAGAACATCAGCTCAACGCCCATTTTCGCACTCACATGGATGTCAAGGATAAGGCAGACCATCCTTGTAATTATTGCTCCAAGCGCTTCACAACGATCGGAGCACTAAAACGCCACATAATGTGCATCCATGAGAATGTTAAGCCCTACATATGTGACTGCTGTGGCAAAGGAATGAAAACTATAACTGCACTCAACGAGCACAAACTGGTGCATACTGATGAATGTCCTTTCGAATGCTCGGTCTGTCAACGGCGCTTTAAAAACAAGGCCAGGCTGAAGATACACTCCGACACGCATACGAACAATAACTACGAGTGTAATATCTGCGGATTGAAGCTCAATACACGGCGCACTCTCAACATGCACCAGCTGGTACACACAGATGACAAACAGTTCAAATGTGATGTCTGCGGTGCTGCTTTTAAACGGGGTAAAACCCTAAAGGCACATCTGATCCTACATACTGGTATAAGGCCgtataaatgtaatttttgtgGCAAAGATTTTTCGAATGGCTCCAATTGCCGCATGCACAAGCGCAAAACACATCCCAAGGAGCTGGCCGAGGAGGAGGCACGTGGTGTCATGCGTTCCACACTGTTGCCTATGATAACAGAACTAACCGAAGCCTCCAAACGCGTCAAGAAAGTGACCAGATGTGGAAAGTCGCTGATGCGCGTCAGAGTTAAGGAAGAAGCGACTGAAACTACAAAATCGAGCACGCAGGTTGAACCTGATGATGCGATGGTATACGAGATTGTAGAGGAGTGCCCATAA
Protein Sequence
MTAREAVKRSPKTSMTDTEESDWHHWCRLCAKEDSNNSIFTQFRDGDQNWNSVMAVAIGKYFWVNIKTDDELSNVLCEECYTLVKDLIEFSDRVNRVQTLFTRLYRAGAKAFMNYDDFRKDCGLLSSEWKHIISKQAPSEPPVENTETDSAANYIVDEMAESFDEDAEIMAEIEAAVLTDNEETPYKAYDDDHDDSTKDSDAEHEDTTDIAFVKEKTQNDDVHSEMHESNTNEQVADTVGAADATTIEEDITEENTTSDELNEIPVEDDGNVLNTPYKCMSCRKMYKKPMAYKRHMAEMHGLVPTDMPNLECKLCRSYFVTEHQLNAHFRTHMDVKDKADHPCNYCSKRFTTIGALKRHIMCIHENVKPYICDCCGKGMKTITALNEHKLVHTDECPFECSVCQRRFKNKARLKIHSDTHTNNNYECNICGLKLNTRRTLNMHQLVHTDDKQFKCDVCGAAFKRGKTLKAHLILHTGIRPYKCNFCGKDFSNGSNCRMHKRKTHPKELAEEEARGVMRSTLLPMITELTEASKRVKKVTRCGKSLMRVRVKEEATETTKSSTQVEPDDAMVYEIVEECP

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

100% Identity
-
90% Identity
-
80% Identity
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